WaterHyacinth: A Comprehensive Image Dataset of Various Water Hyacinth Species From Different Regions of Bangladesh.

The newly created dataset "WaterHyacinth" contains information on numerous kinds of water hyacinth that are often found in different parts of Bangladesh. There are four different species of water hyacinth represented in this dataset. Lemna minor, Eichornia crassipes, Monochoria korsakowii, and Pistia stratiotes are the four separate species. There are 1,790 original images in the entire collection. We gathered these photographs over a period of three months, from July 2023 to September 2023, from separate locations of Sirajganj and Pabna zilla under a variety of outdoor lighting situations as well as inside lighting with acceptable backgrounds. The file also includes 4,050 extra augmented photos. This extensive dataset offers enormous potential for researchers to contribute to environmental science, aquatic science, remote sensing, and water condition monitoring using different Machine Learning and Deep Learning techniques. It is an invaluable asset for future work, including remote sensing with satellite imagery, managing water quality, and conserving biodiversity domains.

本次新建的“水葫芦（WaterHyacinth）”数据集收录了孟加拉国多地常见的多种水葫芦类群相关信息。本数据集共涵盖4种典型类群，分别为浮萍（Lemna minor）、凤眼蓝（Eichhornia crassipes）、箭叶雨久花（Monochoria korsakowii）以及大薸（Pistia stratiotes）。该数据集原始图像共计1790张，我们于2023年7月至2023年9月的三个月周期内，在孟加拉国西拉杰甘杰与帕布纳县的多处采样点采集了这批图像，采集场景涵盖多种户外光照条件及背景规范的室内光照环境。此外，数据集还包含4050张额外的增强处理图像。本大规模数据集为研究人员借助各类机器学习与深度学习技术开展环境科学、水生科学、遥感及水环境监测相关研究提供了巨大应用潜力。该数据集对于卫星遥感影像分析、水质管理及生物多样性保护等领域的后续研究而言，是一份极具价值的核心资源。

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于水葫芦物种的图像数据集，包含四种不同物种的1,790张原始图像和4,050张增强图像，采集自孟加拉国Sirajganj和Pabna地区，时间跨度为2023年7月至9月，覆盖多种光照条件。它旨在支持环境科学、水生科学、遥感和机器学习等领域的研究，特别是在水质管理和生物多样性保护方面具有应用潜力。